Image processing device, content processing device, content processing system, and image processing method

ABSTRACT

In a depth image compressing section of an image processing device, a depth image operation section generates a depth image by operation using photographed stereo images. A difference image obtaining section generates a difference image between an actually measured depth image and the computed depth image. In a depth image decompressing section of a content processing device, a depth image operation section generates a depth image by operation using the transmitted stereo images. A difference image adding section restores a depth image by adding the computed depth image to the transmitted difference image.

TECHNICAL FIELD

The present invention relates to an image processing device thatperforms processing including the compression of image data, a contentprocessing device that performs processing using the image data, acontent processing system including the image processing device and thecontent processing device, and image processing methods performed in theimage processing device and the content processing device.

BACKGROUND ART

With the development of technologies of VR (Virtual Reality) and AR(Augmented Reality), information on a distance from an imaging plane toa subject, or what is generally called depth information has beenregarded as increasingly important in addition to color images such asstereo images for realizing a stereoscopic view. The depth informationenables a real object to be expressed by polygons, and enablesstereoscopic video to be displayed without causing a feeling ofstrangeness even when a line of sight moves. Content providing a greatersense of realism and a greater sense of immersion can therefore berealized. In addition, the depth information is also important inrealizing interaction in response to the action of a user in a VR spaceand an AR space by throwing a ball as a virtual object into a spacerepresented as video, for example.

Various measuring methods have been proposed to obtain the depthinformation with high accuracy, the measuring methods including a methodof applying reference light such as near infrared rays, and obtainingthe depth information on the basis of a time taken to detect thereflected light, a method of obtaining the depth information on thebasis of the distortion of distribution or intensity of the reflectedlight, and the like.

SUMMARY Technical Problem

On the other hand, when the depth information obtained by such adistance measuring sensor is transmitted to a host terminal or the liketogether with the data of a color photographed image used for display orthe like, it is considered that immediacy is lost or image quality isdegraded due to limitation on a communication band. For example,conventionally, when the depth information is to be also transmittedusing the communication band transmitting only the data of the colorimage, a measure of lowering the resolution of the color image orincreasing a compression ratio is naturally needed, so that imagequality tends to be degraded. Such a problem tends to become evidentwhen a large-scale network such as the Internet is used or wirelesscommunication is used.

The present invention has been made in view of such a problem, and it isan object of the present invention to provide a technology that canimplement high-accuracy processing using actually measured depthinformation without increasing transmission data size.

Solution to Problem

A certain aspect of the present invention relates to an image processingdevice. The image processing device includes: a depth image obtainingsection configured to obtain data of a depth image actually measured bya camera measuring a distance of a subject and having the distance as apixel value; a photographed image obtaining section configured to obtaindata of a plurality of photographed images formed by photographing thesubject from different viewpoints; a depth image compressing sectionconfigured to compress the data of the depth image using the data of theplurality of photographed images; and an output section configured tooutput the data of the plurality of photographed images and thecompressed data of the depth image.

Here, the “image processing device” may be any of a device itself thatperforms image processing, such as an information processing terminal,an information processing device, or a server connectable to variouskinds of devices via a network, an integrated circuit constituting apart of those devices, and the like. Alternatively, the “imageprocessing device” may be an imaging device, or may be an integratedcircuit constituting a part of the imaging device.

Another aspect of the present invention relates to a content processingdevice. The content processing device includes: an image data obtainingsection configured to obtain data of a plurality of photographed imagesformed by photographing a subject from different viewpoints and dataafter compression of a depth image actually measured by a camerameasuring a distance of the subject and having the distance as a pixelvalue; a depth image decompressing section configured to decompress thedata of the depth image after the compression using the data of theplurality of photographed images; and an output section configured toperform predetermined processing using at least the decompressed data ofthe depth image, and output a result.

Here, the “content processing device” may be any of a device itself thatprocesses content, such as a head-mounted display, an informationterminal, an information processing device, or a server connectable tovarious kinds of devices via a network, an integrated circuitconstituting a part of those devices, and the like.

Yet another aspect of the present invention relates to a contentprocessing system. The content processing system includes: an imageprocessing device configured to transmit data of a depth image actuallymeasured by a camera measuring a distance of a subject and having thedistance as a pixel value and data of a plurality of photographed imagesformed by photographing the subject from different viewpoints; and acontent processing device configured to perform information processingusing the data of the depth image and the data of the photographedimages; the image processing device including a depth image compressingsection configured to compress the data of the depth image using thedata of the plurality of photographed images, and an output sectionconfigured to output the data of the plurality of photographed imagesand the data of the depth image after the compression, and the contentprocessing device including a depth image decompressing sectionconfigured to decompress the data of the depth image after thecompression using the data of the plurality of photographed images, andan output section configured to perform predetermined processing usingat least the decompressed data of the depth image, and output a result.

Yet another aspect of the present invention relates to an imageprocessing method. The image processing method performed by an imageprocessing device includes: a step of obtaining data of a depth imageactually measured by a camera measuring a distance of a subject andhaving the distance as a pixel value; a step of obtaining data of aplurality of photographed images formed by photographing the subjectfrom different viewpoints; a step of compressing the data of the depthimage using the data of the plurality of photographed images; and a stepof outputting the data of the plurality of photographed images and thecompressed data of the depth image.

Yet another aspect of the present invention also relates to an imageprocessing method. The image processing method performed by a contentprocessing device includes: a step of obtaining data of a plurality ofphotographed images formed by photographing a subject from differentviewpoints and data after compression of a depth image actually measuredby a camera measuring a distance of the subject and having the distanceas a pixel value; a step of decompressing the data of the depth imageafter the compression using the data of the plurality of photographedimages; and a step of performing predetermined processing using at leastthe decompressed data of the depth image, and outputting a result.

It is to be noted that any combination of the above constituent elementsas well as modes obtained by converting expressions of the presentinvention between a method, a device, a system, a computer program, arecording medium on which a computer program is recorded, and the likeare also effective as modes of the present invention.

Advantageous Effect of Invention

According to the present invention, it is possible to implementhigh-accuracy information processing using a photographed image withoutincreasing transmission data size.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a diagram depicting an example of a configuration of a contentprocessing system according to a present embodiment.

FIG. 2 is a diagram depicting an internal circuit configuration of animage processing device in the present embodiment.

FIG. 3 is a diagram depicting a configuration of functional blocks ofthe image processing device and a content processing device in thepresent embodiment.

FIG. 4 is a diagram depicting a configuration of functional blocks of adepth image compressing section and a depth image decompressing sectionand a flow of processing in a case of using a difference image between adepth image obtained from operation using stereo images and a depthimage actually measured by a depth camera in the present embodiment.

FIG. 5 is a diagram depicting a configuration of functional blocks ofthe depth image compressing section and the depth image decompressingsection and a flow of processing in a case where the number ofgradations of distance values as pixel values of a depth image ischanged according to the distances of subjects in the presentembodiment.

FIG. 6 depicts diagrams of assistance in explaining correspondenceinformation for the pixel values before and after quantization, thecorrespondence information being used to decompress the depth image inthe present embodiment.

FIG. 7 is a diagram depicting a configuration of functional blocks ofthe depth image compressing section and the depth image decompressingsection and a flow of processing in a case where the number ofgradations of the pixel values of the difference image depicted in FIG.4 is adjusted as depicted in FIG. 5.

FIG. 8 is a diagram depicting functional blocks in a case where thedepth image compressing section and the depth image decompressingsection in the present embodiment compress/decompress a depth image byusing data that can be obtained from a server.

FIG. 9 is a diagram depicting a configuration of functional blocks ofthe depth image decompressing section in the content processing deviceand a flow of processing in a mode in which the frame rate of a depthimage is made lower than that of stereo images in the presentembodiment.

FIG. 10 is a diagram schematically depicting a bird's-eye view of animaging device in a modification.

FIG. 11 is a diagram depicting an element structure of an imaging devicein a modification.

DESCRIPTION OF EMBODIMENT

FIG. 1 depicts an example of a configuration of a content processingsystem to which a present embodiment can be applied. A contentprocessing system 1 includes: an imaging device 12 that photographs areal space; an image processing device 10 that converts a photographedimage into a form for transmission by processing a photographed image; acontent processing device 14 that performs predetermined informationprocessing using the photographed image transmitted thereto; and adisplay device 16 that outputs a result of the information processing.The image processing device 10 and the content processing device 14establish communication therebetween via a network 8 as required.

Each of connections between the image processing device 10 and theimaging device 12 and between the content processing device 14 and thedisplay device 16 may be established by wire cable. In addition,wireless connections may be made between the image processing device 10and the imaging device 12 and between the content processing device 14and the display device 16 by a wireless LAN (Local Area Network) or thelike. Alternatively, the image processing device 10 and the imagingdevice 12 may be an integral device, and the content processing device14 and the display device 16 may be an integral device. For example, theimage processing device 10 and the imaging device 12 may be combinedwith each other to form an imaging device having a function oftransmission to the network 8, or may be combined with each other toform a server that distributes content data. In addition, the contentprocessing device 14 and the display device 16 may be combined with eachother to form a portable terminal or a head-mounted display.

Further, the network 8 connecting the image processing device 10 and thecontent processing device 14 to each other may be a large-scale networksuch as the Internet, or may be a local network such as a LANestablished by wired or wireless manner. The external shapes andconnection forms of the imaging device 12, the image processing device10, the content processing device 14, and the display device 16 are thusnot limited to those depicted in the figure.

The imaging device 12 includes: stereo cameras 18 that photograph asubject space at a predetermined frame rate; and a depth camera 19 thatobtains information regarding a distance to a subject in the samesubject space at the predetermined frame rate. The stereo cameras 18have a structure obtained by arranging, on a left side and a right sideat a predetermined interval, video cameras including an imaging elementsuch as a CMOS (Complementary Metal Oxide Semiconductor) sensor and animage processing mechanism that generates data of photographed images bysubjecting output data of the imaging element to demosaicing processing,lens distortion correction, color correction, and the like.

The depth camera 19 is constituted of a mechanism for irradiating thesubject space with reference light such as near infrared rays and a CMOSsensor that detects reflected light. The depth camera 19 derives thedistance to the subject on the basis of a time taken from theirradiation to detection, distortion of distribution of the reflectedlight, or the like. The former method is a technology commonly known asa ToF (Time of Flight) method, and the latter method is a technologycommonly known as a pattern irradiation method. However, theconfiguration of the depth camera and the method of deriving thedistance are not intended to be limited to this. In any case, theimaging device 12 supplies the image processing device 10 at apredetermined rate with data of stereo images constituted of a pair ofcolor images photographed from a left viewpoint and a right viewpointand a depth image corresponding to the stereo images.

Incidentally, the depth image is an image indicating a distance value asa pixel value of an image of the subject. In addition, while the imagingdevice 12 in the figure has a sensor of the depth camera 19 disposed inthe middle of sensors of the stereo cameras 18, the arrangement andnumber of sensors are not limited to this. For example, the depth cameramay also be stereo cameras photographing from the left and rightviewpoints, and arranged so as to be vertically adjacent to the stereocameras photographing color images, or the stereo cameras photographingcolor images may serve also as the camera photographing the depth image.Incidentally, in the following description, a pair of ordinaryphotographed images that is not the depth image will be referred to as“stereo images.”

The image processing device 10 compresses the data of the imagessupplied from the imaging device 12 into a transmission form, and thentransmits the data to the content processing device 14 at apredetermined rate. Specifically, the data size of the depth image isreduced by utilizing the redundancy of the stereo images and the depthimage. For example, a depth image is obtained by operation using thestereo images, and a difference image between the depth image and adepth image as a result of actual measurement by the depth camera is setas data of depth information after compression.

The content processing device 14 reconstructs the depth image bydecompressing the compressed depth information in the thus transmitteddata. Specifically, when the above-described difference image istransmitted as the depth information, a depth image is obtained byoperation using the stereo images, and the actually measured depth imageis reconstructed by adding the depth image to the difference image.Using the reconstructed depth image and the stereo images, the contentprocessing device 14 performs information processing, or generatesoutput data such as a display image and sound.

Here, the content of the output data is not particularly limited, andmay be diverse depending on functions desired from the system by a user,the content of a started application, or the like. The contentprocessing device 14, for example, connects images such that the stereoimages are displayed in a left region and a right region of the displaydevice 16, and renders a virtual object interacting with the subject onthe basis of the distance value indicated by the depth image.Alternatively, a game may be made to progress by obtaining the motion ofthe subject in the real space from the depth image, and converting themotion of the subject in the real space into command input, and acorresponding game screen may be generated.

The display device 16 includes: a display such as a liquid crystaldisplay, a plasma display, or an organic EL (Electroluminescence)display that outputs images; and a speaker that outputs sound. Thedisplay device 16 outputs the output data supplied from the contentprocessing device 14 as an image and sound. The display device 16 may bea television receiver, various kinds of monitors, a display screen of aportable terminal, an electronic viewfinder of a camera, or the like, ormay be a head-mounted display that is mounted on the head of the userand displays an image in front of the eyes of the user.

In general, a method of generating the depth image from the stereoimages is widely known. Specifically, corresponding points of a sameimage in the stereo images are obtained by block matching or the like,and a distance is derived by a principle of triangulation from an amountof displacement between the corresponding points in a horizontaldirection. However, with this method, correspondence between the twoimages is in block units, and therefore the resolution of the depthimage is low. In addition, matching accuracy, or in turn the accuracy ofthe depth image varies greatly depending on the number of feature pointson the surface of the subject.

The present embodiment is based on the usage of an actually measureddepth image. The present embodiment can therefore maintain a highaccuracy of information processing. In addition, a band necessary forthe transmission of the depth image can be reduced by realizing datacompression using the stereo images transmitted at the same time or thelike. Consequently, a wide band can be used for the transmission ofcolor stereo images, so that high-accuracy processing can be realizedwithout a degradation in image quality.

FIG. 2 depicts an internal circuit configuration of the image processingdevice 10. The image processing device 10 includes a CPU (CentralProcessing Unit) 23, a GPU (Graphics Processing Unit) 24, and a mainmemory 26. These parts are interconnected via a bus 30. The bus 30 isfurther connected with an input-output interface 28. The input-outputinterface 28 is connected with: a communicating unit 32 including aperipheral device interface such as USB (Universal Serial Bus) or IEEE(Institute of Electrical and Electronics Engineers) 1394, and a networkinterface of a wired or wireless LAN; a storage unit 34 such as a harddisk drive and a nonvolatile memory; an output unit 36 that outputs datato an external apparatus; an input unit 38 that inputs data from theimaging device 12 and an input device not depicted in the figure; and arecording medium driving unit 40 that drives a removable recordingmedium such as a magnetic disk, an optical disk, or a semiconductormemory.

The CPU 23 controls the whole of the image processing device 10 byexecuting an operating system stored in the storage unit 34. The CPU 23also executes various kinds of programs read from the removablerecording medium and loaded into the main memory 26 or downloaded viathe communicating unit 32. The GPU 24 has functions of a geometry engineand functions of a rendering processor. The GPU 24 performs renderingprocessing according to a rendering instruction from the CPU 23, andperforms output to the output unit 36. The main memory 26 is formed by aRAM (Random Access Memory). The main memory 26 stores a program and datanecessary for processing. Incidentally, an internal circuitconfiguration of the content processing device 14 may be similar to thisinternal circuit configuration.

FIG. 3 depicts a configuration of functional blocks of the imageprocessing device 10 and the content processing device 14. Each of thefunctional blocks depicted in the figure can be implemented by thevarious circuits depicted in FIG. 2 in terms of hardware, and isimplemented by a program that is loaded from a recording medium to themain memory and exerts various functions such as an image analyzingfunction, an information processing function, an image renderingfunction, and a data input-output function in terms of software. Hence,it is to be understood by those skilled in the art that these functionalblocks can be implemented in various forms by only hardware, onlysoftware, or combinations of hardware and software, and are not to belimited to one of the forms.

The image processing device 10 includes: a stereo image obtainingsection 50 that obtains the data of stereo images from the imagingdevice 12; a depth image obtaining section 52 that obtains the data of adepth image; a depth image compressing section 54 that compresses thedata of the depth image using the stereo images; and an output section56 that outputs the data of the stereo images and the depth image afterbeing compressed. Both the stereo image obtaining section 50 and thedepth image obtaining section 52 are implemented by the input unit 38,the CPU 23, the main memory 26, and the like in FIG. 2. The formersequentially obtains the data of the stereo images from the imagingdevice 12 at the predetermined frame rate. The latter sequentiallyobtains the data of the depth image from the imaging device 12 at thepredetermined frame rate. Here, the stereo image obtaining section 50constitutes a photographed image obtaining section that obtains the dataof a plurality of photographed images formed by photographing a subjectfrom different viewpoints.

The stereo image obtaining section 50 and the depth image obtainingsection 52 may each obtain the data in a stream format in order from arow in which exposure is completed in the imaging device 12. The depthimage compressing section 54 is implemented by the CPU 23, the GPU 24,the main memory 26, and the like in FIG. 2. The depth image compressingsection 54 compresses the data size of the depth image. Specifically, asdescribed above, a difference image between a depth image obtained fromoperation using the stereo images and a depth image obtained by thedepth image obtaining section 52 is generated. Alternatively, the depthimage compressing section 54 may change the number of gradations perunit distance for data indicating a distance value according to adistance to a subject, and perform quantization.

At this time, the depth image compressing section 54 may extract animage of a subject in one of the stereo images, and allocate, to eachsubject, an appropriate number of gradations corresponding to thedistance range of the subject. In addition, the depth image compressingsection 54 may apply the adjustment of the number of gradationsaccording to distance to the difference image between the depth imageobtained by operation using the stereo images and the actually measureddepth image. The difference image, the image resulting from theadjustment of the number of gradations per unit distance, andaccompanying data will hereinafter be referred to collectively as a“depth image after being compressed.”

The output section 56 is implemented by the CPU 23, the main memory 26,the communicating unit 32, and the like in FIG. 2. The output section 56outputs the data of the stereo images obtained by the stereo imageobtaining section 50 and the data of the depth image after beingcompressed that is generated by the depth image compressing section 54.An output destination may be the content processing device 14, or may bea recording medium readable by the content processing device 14.Alternatively, the data of the stereo images obtained by the stereoimage obtaining section 50 and the data of the depth image after beingcompressed that is generated by the depth image compressing section 54may be stored in the storage unit 34 of the image processing device 10in advance, and transmitted in response to a request from the contentprocessing device 14. Incidentally, the output section 56 maycompression-code or packetize the output target data by an ordinarymethod.

The content processing device 14 includes: an image data obtainingsection 60 that obtains the data of the stereo images and the depthimage after being compressed; a depth image decompressing section 62that decompresses the depth image after being compressed; an informationprocessing section 64 that performs predetermined information processingusing the data of the stereo images and the depth image; and an outputsection 66 that outputs the data of a display image and sound generatedas a result of the information processing.

The image data obtaining section 60 is implemented by the communicatingunit 32, the CPU 23, the main memory 26, and the like in FIG. 2. Theimage data obtaining section 60 sequentially obtains the data of thestereo images and the depth image after being compressed from the imageprocessing device 10 at the predetermined frame rate. In a case wherethe data of the stereo images and the depth image after being compressedis obtained via a recording medium, the image data obtaining section 60sequentially reads these pieces of image data by the recording mediumdriving unit 40. Also in the case of using a recording medium, thepresent embodiment can reduce the size of the stored data. Incidentally,in a case where the obtained data of the images is compression-coded byan ordinary method, the image data obtaining section 60 restores thedata into two-dimensional image data by decoding the data.

The depth image decompressing section 62 is implemented by the CPU 23,the GPU 24, the main memory 26, and the like in FIG. 2. The depth imagedecompressing section 62 generates the original depth image bydecompressing the depth image after being compressed. The content of thedecompression processing is basically processing that reversely tracesthe compression processing performed by the depth image compressingsection 54 in the image processing device 10. A concrete example thereofwill be described later.

The information processing section 64 is implemented by the CPU 23, theGPU 24, the main memory 26, and the like in FIG. 2. The informationprocessing section 64 generates output data by performing predeterminedinformation processing using the stereo images and the depth image afterbeing decompressed. As described above, the content of the processingperformed by the information processing section 64 is not particularlylimited. The output section 66 is implemented by the CPU 23, the mainmemory 26, the output unit 36, and the like in FIG. 2. The outputsection 66 outputs the thus generated output data of a display image andthe like to the display device 16. Incidentally, the depth imagedecompressing section 62 of the content processing device 14 may beformed as an image data decompressing device independent of the devicethat performs processing related to a game and display.

The depth image compressing method/decompressing method in the presentembodiment will next be described in detail. FIG. 4 depicts aconfiguration of functional blocks of the depth image compressingsection 54 and the depth image decompressing section 62 and a flow ofprocessing in a case of using a difference image between a depth imageobtained from operation using stereo images and a depth image actuallymeasured by the depth camera as one mode of the present embodiment. Adepth image compressing section 54 a in the image processing device 10in this case includes a depth image operation section 70 and adifference image obtaining section 72. The depth image operation section70 sets stereo images 80 as input data, and generates a depth image byoperation.

Specifically, as described above, corresponding points in the two stereoimages are identified by stereo matching, and a distance to a subject isderived from a parallax between the stereo images by a principle oftriangulation. At this time, typically, a reference block is set to oneof the stereo images, and a search is made for a block having a highdegree of similarity in the other image in the horizontal direction. Adistance value is calculated on the basis of a resulting parallax, andmapped to the image in which the reference block is set. A depth imageat a corresponding viewpoint is thereby generated.

The difference image obtaining section 72 sets, as input data, a depthimage 82 photographed by the depth camera and the depth image generatedby the depth image operation section 70, and generates a differenceimage 84 indicating differences between the pixel values of the twodepth images. In actuality, the difference image obtaining section 72can be implemented by a circuit similar to a circuit that obtainsdifferences between frames of a moving image, the circuit being used fora technology of conventional differential pulse-code modulation (DPCM).The same is true for difference image obtaining sections 72 in thefollowing figures. The image processing device 10 outputs the thusgenerated difference image 84 as a depth image after being compressedtogether with the data of the stereo images 80.

On the other hand, a depth image decompressing section 62 a of thecontent processing device 14 includes a depth image operation section 74and a difference image adding section 76. The depth image operationsection 74 sets the stereo images 80 as input data, and generates adepth image by operation. This processing is similar to processingperformed by the depth image operation section 70 in the depth imagecompressing section 54 a of the image processing device 10. Thedifference image adding section 76 sets, as input data, the differenceimage 84 as the depth image after being compressed and the depth imagegenerated by the depth image operation section 74, and generates a depthimage 86 equal to the depth image 82 actually measured by the imagingdevice 12 by adding together the pixel values of the two images. Inactuality, the difference image adding section 76 can be implemented bya circuit similar to a circuit that decodes the frames of the movingimage in the above-described differential pulse-code modulation. Thesame is true for difference image adding sections 76 in the followingfigures.

The depth images generated by the depth image operation sections 70 and74 by the above-described method generally have a lower resolution thanthe stereo images used for the operation, and tend to vary in accuracydepending on the number of feature points on the surface of the subject.The difference image 84 from the depth image 82 actually measured by thedepth camera compensates for such decreases in resolution and accuracy.As a result, by setting the difference image 84 as a transmissiontarget, it is possible to transmit information equal to the depth image82 with a data size smaller than the actually measured depth image 82.

Incidentally, while all of the images are depicted in a same size in thefigure, the size and resolution of the stereo images 80, the depth image82, and the difference image 84 may be set independently. In a casewhere the images used for the generation and addition of the differenceimage are different in size (resolution), it suffices to enlarge orreduce the images as appropriate by an existing interpolationtechnology, and thereafter subject pixels at same positions tooperation. In addition, in the imaging device 12, the depth camera mayalso be constituted by stereo cameras, and thereby the actually measureddepth image 82 may be stereo images from the left and right viewpoints.

In this case, differences between the one depth image generated by thedepth image operation section 70 by operation and each of the depthimages from the left and right viewpoints may be calculated, and therebythe difference image 84 may also be stereo images from the left andright viewpoints. That is, the depth image compressing section 54 agenerates the difference image 84 for each of a plurality of the depthimages. When the depth images from the left and right viewpoints areactually measured, even in the case of a part in a blind spot from oneviewpoint, a distance to the part from the other viewpoint isidentified. Thus, high-accuracy information processing can be performedby using distance information in a wider range of a real world. Even insuch a mode, an increase in the size of transmission data can besuppressed when both of the depth images are compressed into differenceimages.

Alternatively, two depth images corresponding to the two actuallymeasured depth images may be generated by shifting an image of eachsubject in the one depth image generated by the depth image operationsection 70 by operation such that the image of each subject is viewedfrom the left and right viewpoints of depth cameras. That is, the depthimage compressing section 54 a converts the one depth image based onparallax into two depth images from the viewpoints when the compressiontarget depth image is actually measured, and then generates differencesfrom the compression target depth image. In this case, difference stereoimages can be generated by subjecting the depth images from thecorresponding viewpoints to operation.

A method of shifting the image in the depth image thus obtained byoperation such that the image is viewed from the viewpoints of depthcameras is applicable irrespective of the number and positions of depthcameras when the positional relation between the stereo cameras and thedepth cameras is known. This processing reduces differences between theactually measured depth image and the depth images obtained byoperation, and can therefore reduce the data size more. An ordinarycomputer graphics technology can be applied to a method of generatingimages from different viewpoints on the basis of subject distanceinformation.

FIG. 5 depicts a configuration of functional blocks of the depth imagecompressing section 54 and the depth image decompressing section 62 anda flow of processing in a case where the number of gradations ofdistance values as the pixel values of the depth image is changedaccording to the distances of subjects as another mode of the presentembodiment. A depth image compressing section 54 b in the imageprocessing device 10 in this case includes a subject recognizing section90 and a gradation allocating section 92. The subject recognizingsection 90 recognizes a subject appearing as an image by using at leastone image 100 of the stereo images.

The subject recognizing section 90, for example, identifies a region ofan image of a subject by extracting a contour line in the image 100using an edge extracting filter. In the illustrated example, a face, atree, and another background region are identified from the image 100.Various other methods are also proposed as a segmentation technologythat separates a region of an image of a subject in an image, and any ofthe methods may be adopted in the present embodiment. For example, aface recognition technology may be introduced for a region of a face,and template matching may be introduced for a subject of a known shape.Alternatively, object tracking from a previous image frame may beperformed by using a method such as an optical flow.

Depending on the adopted recognizing method, both an actually measureddepth image 102 and stereo images may be used as appropriate.Incidentally, as described above, subject recognition by the subjectrecognizing section 90 has an objective of allocating numbers ofgradations of pixel values in the depth image according to distance. Itis therefore not necessary to separate images of all of subjectsprecisely. For example, in a case where a plurality of subjects are incontact with each other, the plurality of subjects may not bedistinguished from each other.

The gradation allocating section 92 determines the number of gradationsper unit distance of a distance value expressed as a pixel value of thedepth image for each subject on the basis of the depth image 102photographed by the depth camera and a region of an image of eachsubject recognized by the subject recognizing section 90. In informationprocessing using depth information, the closer to the imaging device asubject is, the higher the accuracy of the depth information is desired.That is, even in the case of a same amount of movement in a real world,the amount of movement in an image is increased as distance to theimaging device is decreased. In addition, in an ordinary environment, amain target such as a user is highly likely to be present closer to theimaging device than other subjects.

In order to reflect conditions in such a real world in informationprocessing accurately, it is desirable to increase the resolution ofdistance information for a near subject. In other words, reducing theresolution of distance information for a distant subject has a smalleffect on the accuracy of the information processing. Hence, thegradation allocating section 92 assigns a larger number of gradations toa nearer subject, and quantizes the pixel values in the depth image 102.For example, with respect to a bit depth indicating a pixel value in thedepth image, numbers of bits are allocated at a ratio such that 50percent are assigned to the pixel values of an image of the face, 30percent are assigned to the pixel values of the tree in the rear, and 20percent are assigned to other parts. Such an allocation naturallychanges depending on the number of subjects different in distance.

It is thereby possible to provide distance information with a highresolution for a subject at a short distance, which subject is importantin information processing in a subsequent stage, without increasing thedata size of the whole of the depth image. The gradation allocatingsection 92 sets, as the data of the depth image after being compressed,a depth image 104 quantized after an appropriate number of gradations isassigned to each object and correspondence information 106 for pixelvalues before and after the quantization. The image processing device 10outputs the data of the depth image after being compressed and the dataof the stereo images.

On the other hand, a depth image decompressing section 62 b of thecontent processing device 14 includes a depth value obtaining section96. The depth value obtaining section 96 sets, as input data, the dataof the depth image after being compressed, that is, the depth image 104in which the number of gradations is adjusted according to distance andthe correspondence information 106 for the pixel values before and afterthe quantization, and reconstructs an original depth image 108. That is,the data of the pixel values different in resolution according todistance, the pixel values being expressed in the depth image 104transmitted from the image processing device 10, is converted into datawith a uniform resolution. The correspondence information 106 for thepixel values before and after the quantization is used for theconversion.

FIG. 6 depicts diagrams of assistance in explaining the correspondenceinformation for the pixel values before and after the quantization, thecorrespondence information being used to decompress the depth image. Anexample depicted in (a) indicates changes in distance after thequantization with respect to the actually measured distance in a casewhere numbers of gradations are allocated on the basis of the distancesof the recognized subjects as described above. Incidentally, to beexact, the values after the quantization are discrete, but areschematically depicted as a continuous value in the figure. In addition,the graph is not intended to limit the format of the correspondenceinformation. That is, in the content processing device 14, the dataformat is not limited, and may be a function, a look-up table, or thelike as long as the values before the quantization can be obtained fromthe values after the quantization.

An ordinary technology determines a distance after the quantization suchthat the distance after the quantization is directly proportional to thevalue of an actually measured distance, as in a change 180 indicated byalternate long and short dashed lines in (a). On the other hand, as in achange 182 indicated by a solid line, the present embodiment assignsmany gradations to distance ranges in which the subjects are present,and assigns more gradations as distance from the imaging device 12 isdecreased.

For example, in an image composition depicted in FIG. 5, numbers ofgradations A, B, and C are respectively assigned to the distance rangeof the face located closest to the imaging device side, the distancerange of the tree in the rear of the face, and the distance range of awall or the like located in a rearmost position such that A>B>C. Inaddition, a predetermined smaller number of gradations than the numberof gradations C is assigned to a distance range between subjects(distance range in which no subject is present). This is due to lowimportance of steps of distance between subjects as compared withunevenness on the surface of the subjects and the distance between thesubjects.

Incidentally, a “distance range” may be a range of distances actuallyappearing as pixel values in an image of a subject in the depth image,or may be set in advance for each kind of subject in consideration ofthickness or the like. For example, in a case where the subjectrecognizing section 90 performs face recognition, a setting may be madeusing typical data related to the depth of projections and depressionson the surface of a face or the thickness of a head. Alternatively, theoccurrence of a movement and an error may be able to be accommodatedwithin the range by increasing the distance range as the distance isdecreased. A ratio between the numbers of gradations A, B, and C is, forexample, determined by a reciprocal of an average distance of eachsubject. However, the distance ranges of the subjects and the rule fordetermining the numbers of gradations to be allocated are not limited tothis.

In any case, even when the bit depth of the pixel values in the depthimage is reduced from a typical value D to D′, the number of gradationsgiven to an important subject can be increased. When the gradationallocating section 92 of the image processing device 10 determines thenumbers of gradations A, B, and C to be assigned according to a resultof recognition of the subjects and the distance ranges, the gradationallocating section 92 can generate information that uniquely associatesthe distance values before and after the quantization as depicted in thefigure. The depth value obtaining section 96 of the content processingdevice 14 can generate an image equal to the original depth image byreferring to the information, and obtaining actually measured distancesfrom the distances after the quantization, the distances after thequantization being indicated by the transmitted depth image.

(b) of FIG. 6 represents, as a modification of (a), an example of achange in distance after the quantization with respect to the actuallymeasured distance in a case where the change is fixed irrespective ofthe presence of the subjects and the distances of the subjects. Also inthis case, qualitatively, more gradations are assigned as the distanceis decreased, but application is possible irrespective of the positionsand number of the subjects by changing the distance after thequantization in a curved manner with respect to the actually measureddistance. This may equally assign many gradations even when there is nosubject in the vicinity of the imaging device. However, the processingof the subject recognizing section 90 can be omitted. Hence, dependingon a photographing environment and the content of information processingas in a game in which the user is often present immediately in front ofthe imaging device or the like, an increase in speed of the processingcan be achieved while accuracy is maintained.

FIG. 7 depicts a configuration of functional blocks of the depth imagecompressing section 54 and the depth image decompressing section 62 anda flow of processing in a case where the number of gradations of thepixel values of the difference image depicted in FIG. 4 is adjusted asdepicted in FIG. 5 as yet another mode of the present embodiment. Adepth image compressing section 54 c in the image processing device 10in this case includes a depth image operation section 70, a differenceimage obtaining section 72, and a gradation allocating section 92. Thedepth image operation section 70 and the difference image obtainingsection 72 have the same functions as the depth image operation section70 and the difference image obtaining section 72 depicted in FIG. 4.

Specifically, the depth image operation section 70 obtains a depth imagefrom stereo images 112 by operation, and the difference image obtainingsection 72 generates a difference image between an actually measureddepth image 114 and the depth image obtained by operation. The gradationallocating section 92 has functions similar to those of the gradationallocating section 92 depicted in FIG. 5. However, the gradationallocating section 92 sets the difference image generated by thedifference image obtaining section 72 as a processing target. Also inthe case of differences between the actually measured depth image andthe depth image obtained from the stereo images by performing operation,the closer to the imaging device 12 the distance of a subject is, themore the accuracy thereof tends to affect the accuracy of informationprocessing.

Therefore, by assigning a larger number of gradations to a subject at ashorter distance also in the difference image, it is possible to improveprocessing accuracy for a main subject, and decrease the bit depth ofthe pixel values and further compress the data size of the differenceimage. The image processing device 10 outputs a difference image 116 inwhich gradations are adjusted and correspondence information 118 ofpixel values before and after quantization as the data of the depthimage after being compressed together with the data of the stereo images112.

On the other hand, a depth image decompressing section 62 c of thecontent processing device 14 includes a depth image operation section74, a difference value obtaining section 110, and a difference imageadding section 76. The depth image operation section 74 and thedifference image adding section 76 have the same functions as the depthimage operation section 74 and the difference image adding section 76depicted in FIG. 4. Specifically, the depth image operation section 74obtains a depth image from the stereo images 112 by operation, and thedifference image adding section 76 generates an original depth image 119by adding together the depth image and the difference image.

The difference value obtaining section 110 has functions similar tothose of the depth value obtaining section 96 depicted in FIG. 5.However, the difference value obtaining section 110 sets the differenceimage in which the number of gradations per unit difference is adjustedas a processing target. Specifically, the correspondence information 118of the pixel values before and after the quantization is referred to,and an actual difference value is obtained for each pixel from adifference value after the quantization which difference value isindicated by the difference image 116. An original depth image 119 canbe generated in a similar manner to that depicted in FIG. 4 by inputtingthe thus reconstructed difference image to the difference image addingsection 76. Incidentally, while the correspondence information 118 ofthe pixel values before and after the quantization is in the modedepicted in (b) of FIG. 6 in the example depicted in FIG. 7, thecorrespondence information 118 may of course be in the mode depicted in(a) of FIG. 6. In this case, it suffices to provide the subjectrecognizing section 90 to the depth image compressing section 54 c.

A part of functions of the depth image compressing section 54 and thedepth image decompressing section 62 illustrated thus far may beperformed by another device connected via a network. FIG. 8 depictsfunctional blocks in a case where the depth image compressing section 54and the depth image decompressing section 62 compress/decompress a depthimage by using data that can be obtained from a server. In this mode, adepth image providing server 120 is connected to a network 8. The depthimage providing server 120 has a function of generating a depth imagecorresponding to a photographed image transmitted via the network fromthe photographed image, and returning the depth image.

A technology of deep machine learning (deep learning) has recently beencoming into practical use as machine learning using a neural network. Adepth image can also be estimated from one photographed image when thetechnology is introduced, and when associations of characteristics inphotographed images such as the attributes, colors, and changes in thecolors of subjects, and the shapes, sizes, and screen compositions ofimages with depth information are made to be learned on the basis of alarge amount of photographed images. By such a function, the depth imageproviding server 120 generates a depth image on the basis of aphotographed image transmitted from the image processing device 10 andthe content processing device 14, and returns the depth image to thetransmission sources.

In this case, stereo images are not essential in generating a differenceimage and reconstructing the depth image. The imaging device 12 cantherefore be formed by a monocular color image photographing camera anda depth camera in some cases. However, this does not apply in a casewhere stereo images are used for display. A depth image compressingsection 54 d of the image processing device 10 includes a depth imageobtaining section 122 and a difference image obtaining section 72. Thedepth image obtaining section 122 transmits the data of a photographedimage obtained from the imaging device 12 to the depth image providingserver 120, and obtains a depth image returned in response to thetransmission of the data.

The difference image obtaining section 72 has the same functions as thedifference image obtaining section 72 depicted in FIG. 4. The differenceimage obtaining section 72 generates a difference image 128 between anactually measured depth image 126 and the depth image transmitted fromthe depth image providing server 120. Incidentally, also in this mode,the gradation allocating section 92 depicted in FIG. 7 may be introducedto adjust the number of gradations of the difference image according tothe distances of subjects. The image processing device 10 outputs thedata of the depth image after being compressed and the data of the colorphotographed image.

A depth image decompressing section 62 d of the content processingdevice 14 includes a depth image obtaining section 130 and a differenceimage adding section 76. The depth image obtaining section 130 transmitsthe data of the color photographed image to the depth image providingserver 120, and obtains the depth image returned in response to thetransmission of the data. The difference image adding section 76 has thesame functions as the difference image adding section 76 depicted inFIG. 4. Specifically, the difference image adding section 76 generatesan original depth image 132 by adding together the depth imagetransmitted from the depth image providing server 120 and the differenceimage 128 transmitted from the image processing device 10. Incidentally,when the number of gradations is adjusted according to the distances ofthe subjects in the image processing device 10, the functions of thedifference value obtaining section 110 depicted in FIG. 7 are introducedinto the depth image decompressing section 62 d.

The modes described thus far basically obtain and transmit the stereoimages and the depth image at the same frame rate. However, the size ofthe transmission data may be further compressed by decreasing the framerate of the depth image. FIG. 9 depicts a configuration of functionalblocks of the depth image decompressing section 62 in the contentprocessing device 14 and a flow of processing in a mode in which theframe rate of the depth image is made lower than that of the stereoimages.

In this mode, the image processing device 10 transmits the data of thestereo images to the content processing device 14 at a predeterminedframe rate, and transmits the data of the compressed depth image to thecontent processing device 14 at a frame rate lower than thepredetermined frame rate. In the figure, the difference image from thecomputed depth image is assumed as the data of the compressed depthimage. However, the data of the compressed depth image may be data inwhich the number of gradations of the depth image or the differenceimage is adjusted according to the distances of subjects. A depth imagedecompressing section 62 e includes a depth image operation section 74,a difference image adding section 76, a motion obtaining section 140,and an interpolating section 142.

The depth image operation section 74 and the difference image addingsection 76 have the same functions as the depth image operation section74 and the difference image adding section 76 depicted in FIG. 4.Specifically, the depth image operation section 74 obtains a depth imagefrom stereo images 144 by operation, and the difference image addingsection 76 generates an original depth image by adding together thedepth image and a difference image 146. However, it suffices for thedepth image operation section 74 to obtain the depth image only forimage frames at times corresponding to the difference image 146. Forexample, in a case where the frame rate of the difference image 146 isset to be ½ of that of the stereo images, the depth image operationsection 74 obtains the depth image using the stereo images in everyother frame.

Then, by addition to the difference image 146, the difference imageadding section 76 can obtain the original depth image at the same framerate as the difference image 146. Meanwhile, the motion obtainingsection 140 obtains a motion vector of a subject by taking aninter-frame difference of one of the stereo images 144. A method ofobtaining the motion vector of the subject in the moving image is anordinary technology. Then, the interpolating section 142 interpolates adepth image on a time axis by predicting a motion until a next time stepusing the past motion vector, and then applying the motion to the depthimage at the lower frame rate, the depth image being generated by thedifference image adding section 76.

For example, in the case where the frame rate of the difference image146 is set to be ½ of that of the stereo images, one depth image frameto which a predicted motion for a time Δt/2 is given is generated andinserted between frames of a time Δt of the depth image reconstructed bythe difference image adding section 76. It is thereby possible togenerate a depth image 148 with high accuracy at the same frame rate asthe stereo images 144 while the size of the transmitted data is furtherreduced.

In addition, because the frame rates of the stereo images and the depthimage can be set independently of each other, an optimum frame rate foreach of the images can be selected in consideration of also differencesin photographing principles of the cameras photographing the respectiveimages, and the image quality of both images can be improved.Incidentally, in a case where the photographing timings of the stereoimages and the depth image do not coincide with each other due to theindependently set frame rates, the stereo images photographed in timingclosest to the photographing timing of the depth image may be used togenerate the difference image and reconstruct the depth image.

On the other hand, the depth image operation section 74 may generate thedepth image for all of image frames of the stereo images 144 with anobjective of obtaining the motion vector. That is, the motion obtainingsection 140 obtains the motion vector by taking the inter-framedifference of the depth image obtained by operation in place of thestereo images. Also in this case, the processing of the interpolatingsection 142 is similar to that described above.

According to the present embodiment described above, in the system inwhich information processing is performed by using the photographedstereo images and the photographed depth image, the image processingdevice that sends out data compresses the data of the actually measureddepth image by using a depth image obtained from the stereo images byoperation. Obtaining the compressed data, the content processing devicereconstructs the actually measured depth image by using the depth imageobtained from the stereo images by operation. The depth image obtainedby operation and the actually measured depth image have a highsimilarity to each other. Thus, the difference image between the imageobtained by operation and the actually measured depth image can beexpressed by a significantly smaller number of gradations than originalpixel values. By setting such data as a transmission target, it ispossible to realize high-accuracy information processing based on theactually measured depth image while using a limited transmission band.

In addition, the number of gradations indicating the pixel values of thedepth image or the difference image is adjusted according to thedistances of subjects depicted in the actually measured depth image. Itis thereby possible to transmit distance information with a highresolution for a subject at a short distance, which subject is importantin information processing and tends to affect accuracy, withoutincreasing the bit depth. Further, the size of the transmission data canbe made smaller by transmitting the compressed depth image at a framerate lower than that of the stereo images, and performing interpolationby motion compensation using the stereo images in a stage in which thecompressed depth image is used in information processing.

From the above, it is possible to preferentially allocate a transmissionband to important data such as the data of the color images used fordisplay and the distance information of a main subject, and thus stablyrealize high-accuracy information processing and image displayirrespective of a communication state.

The present invention has been described above on the basis ofembodiment thereof. The foregoing embodiment is illustrative, and it isto be understood by those skilled in the art that combinations ofconstituent elements and processing processes of the embodiment aresusceptible of various modifications, and that such modifications alsofall within the scope of the present invention.

For example, in the present embodiment, the imaging device 12 has aconfiguration including a pair of stereo cameras and a depth camera.However, the configuration of the imaging device is not limited as longas the stereo images and the depth image can be photographed in the sametiming. In addition, the images photographed together with the depthimage are not limited to the stereo images and color images as long asthe depth image can be generated at least by operation. A modificationof the imaging device will be described in the following. FIG. 10schematically depicts a bird's-eye view of an imaging device in themodification.

An imaging device 150 in the illustrated example has a configurationobtained by annularly connecting a plurality of video cameras (forexample, video cameras 152) so as to make optical axes radial in ahorizontal plane parallel with the figure. At a time of operation, theimaging device 150 is rotated in a predetermined direction (for example,the direction of an arrow) on the horizontal plane with the center ofthe ring as an axis. Incidentally, the figure does not depict a drivingmechanism for the rotation. With such a configuration, every subjectpresent over 360° on the periphery at each time can be included within afield of view of one of the cameras, and even a subject in a region inwhich no fields of view overlap each other can be included in a field ofview of a following camera with a slight time lag.

As a result, it can be guaranteed that images of subjects present in alldirections are photographed from different viewpoints. For example, whenan imaging device formed by superposing color video cameras and depthcameras of a configuration as depicted in the figure in a verticaldirection corresponding to a depth direction of the figure isintroduced, a depth image can be compressed as in the presentembodiment, and an image in a wider range can be transmitted while anincrease in data size is suppressed. Incidentally, in a case where theimage over 360° on the periphery is not necessary, the number of camerasconstituting the imaging device can be reduced. In some cases, imagesfrom different viewpoints may be photographed by moving one camera, andtwo temporally preceding and succeeding photographed images may be setas stereo images at an average time.

FIG. 11 depicts an element structure of an imaging device in anothermodification. Incidentally, the figure schematically depicts afunctional structure in an element section, and omits a detailedstructure of an inter-layer insulating film, wiring, and the like. Inaddition, the figure illustrates a sectional structure of two pixelsadjacent to each other. Pixels 210 include a microlens layer 212, acolor filter layer 214, a polarizer layer 216, and a photoelectricconversion layer 218. The microlens layer 212 is provided for eachpixel, and condenses incident light.

The color filter layer 214 transmits light of a color different for eachpixel. The polarizer layer 216 includes a wire grid type polarizerformed by arranging a plurality of linear conductor members, forexample, members (wires) of tungsten, aluminum, or the like in the formof stripes at intervals smaller than the wavelength of incident light.When light condensed by the microlens layer 212 and transmitted by thecolor filter layer 214 enters the polarizer layer 216, a polarized lightcomponent in a direction parallel with the lines of the polarizer isreflected, and only a perpendicular polarized light component istransmitted.

Polarized light luminance is obtained by converting the transmittedpolarized light component into a charge by the photoelectric conversionlayer 218. An image obtaining technology using the wire grid typepolarizer as depicted in the figure is disclosed in, for example,Japanese Patent Laid-Open No. 2012-80065 or the like. However, thepolarizer is not limited to the wire grid type, and may be any ofpolarizers in practical use such as a linear dichroic polarizer.Incidentally, while the figure depicts the section of wires extending inthe depth direction of the drawing as the polarizer, the polarizer isassumed to have four principal axis angles, and the orientation of thewires differs accordingly.

In addition, as depicted in the figure, the polarizer layer 216 may havea region including the polarizer and a region not including thepolarizer depending on the pixels. In the region not provided with thepolarizer, light passing through the color filter layer 214 enters thephotoelectric conversion layer 218 as it is. The photoelectricconversion layer 218 includes ordinary photodiodes. The photoelectricconversion layer 218 outputs the incident light as a charge. As depictedin the figure, a plurality of photodiodes are provided for onemicrolens. The light passing through different regions of the focusinglens is thereby converted into charges separately. A technology thatperforms focus detection on the basis of a phase difference of the thusdetected light has been put to practical use as one method of phasedifference autofocus (see Japanese Patent Laid-Open No. 2013-106194, forexample).

In addition, when values detected by a plurality of photodiodes providedfor one pixel are summed, the luminance of one pixel in an ordinaryimaging device is obtained. That is, according to the element structureof the pixels depicted in FIG. 11, an ordinary color image, polarizedlight images in a plurality of orientations, and a phase differenceimage can be obtained at the same time. Here, the phase difference imageis a pair of images having, as a pixel, only the detected value of oneof the two photodiodes provided for each pixel. An amount ofdisplacement of the position of an image in the phase difference imageis zero at a focal length, and is increased with increasing distancefrom the focal length. In addition, the direction of the displacement isreversed depending on whether the distance of the image is longer thanthe focal length or shorter than the focal length.

Utilizing this relation, the image processing device can obtain thedistance of a subject from the amount of displacement of the image inthe phase difference image. However, because being able to identify theamount of displacement is a precondition, the distance is obtained onlyfor a part in which a feature point exists, such as a contour line ofthe subject. Accordingly, the distance value of the whole of the subjectis obtained when a normal vector of a surface of the subject is obtainedby an existing method using polarized light images in a plurality oforientations, and interpolating the distance value on the basis of aresultantly obtained inclination of the surface.

That is, according to the element structure depicted in the figure, adepth image from the same viewpoint as a color image can be obtainedwithout the provision of a reference light irradiating mechanism or thelike. In order to generate the depth image by operation, which depthimage is used to generate the difference image, stereo images may beobtained by introducing an ordinary camera separately from the camera ofthe element structure as depicted in the figure, and making the ordinarycamera photograph from a different viewpoint. Alternatively, the stereoimages may be obtained by a plurality of cameras having the elementstructure as depicted in the figure. In this case, an imaging devicehaving a structure as depicted in FIG. 10 may be used.

In addition, the stereo images may be obtained by moving one camerahaving the element structure as depicted in the figure, or the depthimage may be obtained from one color image by using the depth imageproviding server 120 depicted in FIG. 8. In either case, similar effectscan be obtained by applying the image processing device and the contentprocessing device described in the present embodiment.

REFERENCE SIGNS LIST

-   -   1 Content processing system, 10 Image processing device, 12        Imaging device, 14 Content processing device, 16 Display device,        18 Stereo camera, 19 Depth camera, 23 CPU, 24 GPU, 26 Main        memory, 32 Communicating unit, 34 Storage unit, 36 Output unit,        38 Input unit, 40 Recording medium driving unit, 50 Stereo image        obtaining section, 52 Depth image obtaining section, 54 Depth        image compressing section, 56 Output section, 60 Image data        obtaining section, 62 Depth image decompressing section, 64        Information processing section, 66 Output section.

INDUSTRIAL APPLICABILITY

As described above, the present invention is applicable to various kindsof devices such as an imaging device, a head-mounted display, a sensor,an image processing device, and a content reproducing device, systemsincluding the various kinds of devices, and the like.

1. An image processing device comprising: a depth image obtainingsection configured to obtain data of a depth image actually measured bya camera measuring a distance of a subject and having the distance as apixel value; a photographed image obtaining section configured to obtaindata of a plurality of photographed images formed by photographing thesubject from different viewpoints; a depth image compressing sectionconfigured to compress the data of the depth image using the data of theplurality of photographed images; and an output section configured tooutput the data of the plurality of photographed images and thecompressed data of the depth image.
 2. The image processing deviceaccording to claim 1, wherein the depth image compressing sectiongenerates, as the data after being compressed, a difference imagebetween the depth image to be compressed and a depth image obtained byoperation on a basis of a parallax between corresponding points in twophotographed images.
 3. The image processing device according to claim1, wherein the depth image compressing section makes the number ofgradations per unit distance different according to the distanceindicated by the pixel value in the depth image, and quantizes the pixelvalue.
 4. The image processing device according to claim 1, wherein thedepth image compressing section assigns the number of gradations perunit distance according to the distance of the subject in a region of animage of the subject in the depth image, and quantizes the pixel valueof the image.
 5. The image processing device according to claim 4,wherein the depth image compressing section quantizes the pixel value inthe depth image such that the number of gradations per unit distance ina distance range in which the subject is not present is smaller than thenumber of gradations per unit distance in a distance range in which thesubject is present.
 6. The image processing device according to claim 3,wherein the depth image compressing section increases the number ofgradations per unit distance as the distance indicated by the pixelvalue in the depth image is decreased, and quantizes the pixel value. 7.The image processing device according to claim 3, wherein the depthimage compressing section further generates information indicatingcorrespondence relation between pixel values before and after thequantization.
 8. The image processing device according to claim 2,wherein the depth image obtaining section obtains data of a plurality ofdepth images actually measured by the camera from different viewpoints,and the depth image compressing section generates the difference imagefor each of the plurality of depth images.
 9. The image processingdevice according to claim 2 or 8, wherein the depth image compressingsection converts the depth image based on the parallax into a depthimage from a viewpoint when the depth image to be compressed is actuallymeasured, and generates the difference image between the converted depthimage and the depth image to be compressed.
 10. The image processingdevice according to claim 1, further comprising: a communicating sectionconfigured to connect to a server that provides data of a depth imagecorresponding to a photographed image on a basis of data of thephotographed image by having a machine learning function, wherein thedepth image compressing section obtains the data of the correspondingdepth image by transmitting the data of the photographed image to theserver, and generates, as the data after being compressed, data of adifference image between the depth image and the depth image to becompressed.
 11. A content processing device comprising: an image dataobtaining section configured to obtain data of a plurality ofphotographed images formed by photographing a subject from differentviewpoints and data after compression of a depth image actually measuredby a camera measuring a distance of the subject and having the distanceas a pixel value; a depth image decompressing section configured todecompress the data of the depth image after the compression using thedata of the plurality of photographed images; and an output sectionconfigured to perform predetermined processing using at least thedecompressed data of the depth image, and output a result.
 12. Thecontent processing device according to claim 11, wherein the depth imagedecompressing section decompresses the depth image by adding a depthimage obtained by operation on a basis of a parallax betweencorresponding points in two photographed images to the depth image afterthe compression.
 13. The content processing device according to claim11, wherein the image data obtaining section obtains informationindicating correspondence relation between pixel values before and afterquantization together with the data after the compression of the depthimage in which the pixel value is quantized, and the depth imagedecompressing section restores the pixel value of the depth image afterthe compression to the pixel value before the quantization on a basis ofthe information indicating the correspondence relation.
 14. The contentprocessing device according to claim 11, further comprising: acommunicating section configured to connect to a server that providesdata of a depth image corresponding to a photographed image on a basisof data of the photographed image by having a machine learning function,wherein the depth image decompressing section obtains the data of thecorresponding depth image by transmitting the data of the photographedimage to the server, and decompresses the depth image by adding togetherthe depth image and the depth image after the compression.
 15. Thecontent processing device according to claim 11, wherein the image dataobtaining section obtains the data of the depth image at a frame ratelower than the data of the photographed images, and the depth imagedecompressing section interpolates the depth image on a time axis on abasis of a motion vector obtained from the photographed images.
 16. Thecontent processing device according to claim 11, wherein the image dataobtaining section obtains the data of the depth image at a frame ratelower than the data of the photographed images, and the depth imagedecompressing section interpolates the depth image on a time axis on abasis of a motion vector obtained from a depth image generated by usingthe data of the plurality of photographed images.
 17. A contentprocessing system comprising: an image processing device configured totransmit data of a depth image actually measured by a camera measuring adistance of a subject and having the distance as a pixel value and dataof a plurality of photographed images formed by photographing thesubject from different viewpoints; and a content processing deviceconfigured to perform information processing using the data of the depthimage and the data of the photographed images; the image processingdevice including a depth image compressing section configured tocompress the data of the depth image using the data of the plurality ofphotographed images, and an output section configured to output the dataof the plurality of photographed images and the data of the depth imageafter the compression, and the content processing device including adepth image decompressing section configured to decompress the data ofthe depth image after the compression using the data of the plurality ofphotographed images, and an output section configured to performpredetermined processing using at least the decompressed data of thedepth image, and output a result. 18.-21. (canceled)